Tools to Work with the 'webhose.io' 'API'
The 'webhose.io' https://webhose.io/about 'API' provides access to structured web data feeds across vertical content domains. Their crawlers download the web, structure the data and index save it into domain-specific repositories that can be accessed on demand. Methods are provided to query and retrieve content from this 'API'.
Cover the rest of the wehbose.io API.
Covered are
- the News/Blog/Discussions API
- the Reviews API
The following functions are implemented:
filter_posts: Retrieve structured posts data from news articles, blog posts and online discussionsfetch_posts: Fetch all structured posts data from news articles, blog posts and online discussionsfilter_reviews: Retrieve structured reviews data from hundreds of review sitesfetch_reviews: Fetch all structured reviews data from hundreds of review sites
devtools::install_github("hrbrmstr/webhose")library(webhose)
# current verison
packageVersion("webhose")## [1] '0.1.0'
Make just one call and/or handle API pagination on your own:
res <- filter_posts("(China AND United) language:english site_type:news site:bloomberg.com", ts = 1213456)
str(res)## List of 5
## $ posts :'data.frame': 100 obs. of 42 variables:
## ..$ uuid : chr [1:100] "ea6f6084be16a50b0d4791ffa268956ca691c16d" "bd0ac60981ac73e2a7e71378881272eb5b6147d7" "3f2c2c13aa2b3c6d5fc8300f3a9876d9c86c08d1" "659d73d3ddba3c0a0505da8fc15862bc33ac9519" ...
## ..$ url : chr [1:100] "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUSTNIqEofP1vmWYU0gcWSaL9Q_eyN8poyAr9ZMQdbU2SkzlF5VBNP"| __truncated__ "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUdAw0RVFi4HjhBpliRRp4dSGOkv.5MII1x88FLOLdKwoKluBX2nlV"| __truncated__ "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUSTNIqEofP1VpVuiHLlUCVrZmAe5YWU_Mnf2esMYybfs5E2VTmJDN"| __truncated__ "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUSTNIqEofP14ZdJZRy9AXSnEw_RdLi7DJ.872mE2k8ZYCgXdZs19t"| __truncated__ ...
## ..$ ord_in_thread : int [1:100] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ author : chr [1:100] "More stories by Andy Sharp" "" "More Stories Kanga Kong" "More stories by Margaret Talev" ...
## ..$ published : chr [1:100] "2017-09-03T14:59:00.000+03:00" "2017-09-03T11:15:00.000+03:00" "2017-09-03T06:59:00.000+03:00" "2017-09-20T03:20:00.000+03:00" ...
## ..$ title : chr [1:100] "With Powerful Nuclear Bomb, Kim Dares Trump and Xi to Stop Him" "https://www.bloomberg.com:443/news/articles/2017-07-31/chinese-money-pouring-into-malaysia-could-help-najib-razak-with-votes?cm"| __truncated__ "North Korea Quake Seems Related to Nuclear Test, Says Yonhap - Bloomberg" "Trump Bluntly Threatens to Wipe Out North Korea in His UN Debut" ...
## ..$ text : chr [1:100] "In detonating North Korea’s most powerful nuclear bomb yet, Kim Jong Un is betting it’s too late for either U.S. President Dona"| __truncated__ "China funds going to projects like port, roads, bridges Malaysia says it is balancing its relationship with China Why Chinese M"| __truncated__ "President Donald Trump threatened to increase economic sanctions and halt trade with any nation doing business with North Korea"| __truncated__ "Follow @bpolitics for all the latest news, and sign up for our daily Balance of Power newsletter.\nPresident Donald Trump’s war"| __truncated__ ...
## ..$ highlightText : chr [1:100] "late for either U.S. President Donald Trump or <em>Chinese</em> leader Xi Jinping to be able to take away his atomic... issues."| __truncated__ "<em>China</em> funds going to projects like port, roads, bridges Malaysia says it is balancing its relationship... relationship"| __truncated__ "outlined plans for new sanctions that would target <em>China</em>, which still has commercial ties with North Korea... we have "| __truncated__ "reference to its leader as “Rocket Man” in his <em>United</em> Nations speech -- were defended by aides as making... on North K"| __truncated__ ...
## ..$ highlightTitle : chr [1:100] "" "" "" "" ...
## ..$ language : chr [1:100] "english" "english" "english" "english" ...
## ..$ external_links :List of 100
## .. ..$ : chr(0)
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## .. ..$ : chr(0)
## .. ..$ : chr [1:7] "http://www.reuters.com/article/us-northkorea-usa-oil/how-north-korea-gets-its-oil-from-china-lifeline-in-question-at-u-n-meetin"| __truncated__ "https://assets.bwbx.io/images/users/iqjWHBFdfxIU/iK8DGcQ5nh4A/v1/60x-1.png" "http://fingfx.thomsonreuters.com/gfx/rngs/NORTHKOREA-SANCTIONS/010040Y120K/index.html" "http://www.un.org/apps/news/story.asp?NewsID=57456#.WazOaLIjEUE" ...
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## .. ..$ : chr [1:2] "https://securedrop.ap.org/" "https://twitter.com/ekinetz"
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## .. ..$ : chr [1:6] "https://ofaclawyer.net/economic-sanctions-programs/" "http://www.fmprc.gov.cn/mfa_eng/xwfw_665399/s2510_665401/2511_665403/t1474637.shtml" "https://piie.com/blogs/north-korea-witness-transformation/sanctions-things-are-about-get-interesting-really" "http://www.38north.org/author/joseph-dethomas/" ...
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## .. ..$ : chr [1:2] "http://sciencebasedtargets.org/" "http://rhg.com/wp-content/uploads/2017/05/RHG_ENR_Taking_Stock_24May2017.pdf"
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## .. ..$ : chr(0)
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## .. .. [list output truncated]
## ..$ rating : logi [1:100] NA NA NA NA NA NA ...
## ..$ crawled : chr [1:100] "2017-09-03T15:48:39.001+03:00" "2017-09-03T06:26:25.003+03:00" "2017-09-03T07:13:16.004+03:00" "2017-09-19T23:07:33.001+03:00" ...
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## ..$ thread.url : chr [1:100] "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUSTNIqEofP1vmWYU0gcWSaL9Q_eyN8poyAr9ZMQdbU2SkzlF5VBNP"| __truncated__ "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUdAw0RVFi4HjhBpliRRp4dSGOkv.5MII1x88FLOLdKwoKluBX2nlV"| __truncated__ "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUSTNIqEofP1VpVuiHLlUCVrZmAe5YWU_Mnf2esMYybfs5E2VTmJDN"| __truncated__ "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlgeKUSTNIqEofP14ZdJZRy9AXSnEw_RdLi7DJ.872mE2k8ZYCgXdZs19t"| __truncated__ ...
## ..$ thread.site_full : chr [1:100] "www.bloomberg.com" "www.bloomberg.com" "www.bloomberg.com" "www.bloomberg.com" ...
## ..$ thread.site : chr [1:100] "bloomberg.com" "bloomberg.com" "bloomberg.com" "bloomberg.com" ...
## ..$ thread.site_section : chr [1:100] "https://www.bloomberg.com/politics" "http://www.businessinsider.com/clusterstock/thehive.rss" "" "https://www.bloomberg.com/politics/feeds/site.xml" ...
## ..$ thread.site_categories :List of 100
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
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## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
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## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
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## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
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## .. ..$ : chr [1:2] "media" "tech"
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## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "media" "tech"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. ..$ : chr [1:2] "news" "business"
## .. .. [list output truncated]
## ..$ thread.section_title : chr [1:100] "Politics - Bloomberg" "The Hive" "" "Bloomberg Politics" ...
## ..$ thread.title : chr [1:100] "With Powerful Nuclear Bomb, Kim Dares Trump and Xi to Stop Him" "https://www.bloomberg.com:443/news/articles/2017-07-31/chinese-money-pouring-into-malaysia-could-help-najib-razak-with-votes?cm"| __truncated__ "North Korea Quake Seems Related to Nuclear Test, Says Yonhap - Bloomberg" "Trump Bluntly Threatens to Wipe Out North Korea in His UN Debut" ...
## ..$ thread.title_full : chr [1:100] "With Powerful Nuclear Bomb, Kim Dares Trump and Xi to Stop Him - Bloomberg" "https://www.bloomberg.com:443/news/articles/2017-07-31/chinese-money-pouring-into-malaysia-could-help-najib-razak-with-votes?cm"| __truncated__ "North Korea Quake Seems Related to Nuclear Test, Says Yonhap - Bloomberg" "Trump Bluntly Threatens to Wipe Out North Korea in His UN Debut - Bloomberg" ...
## ..$ thread.published : chr [1:100] "2017-09-03T14:59:00.000+03:00" "2017-09-03T11:15:00.000+03:00" "2017-09-03T06:59:00.000+03:00" "2017-09-20T03:20:00.000+03:00" ...
## ..$ thread.replies_count : int [1:100] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ thread.participants_count : int [1:100] 1 0 0 1 0 0 0 0 1 0 ...
## ..$ thread.site_type : chr [1:100] "news" "news" "news" "news" ...
## ..$ thread.country : chr [1:100] "US" "US" "US" "US" ...
## ..$ thread.spam_score : num [1:100] 0 0 0.23 0 0.22 0.682 0.753 0 0.001 0.031 ...
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## ..$ thread.social.facebook.likes : int [1:100] 1574 6852 2922 1079 1215 1755 5638 4179 1825 1138 ...
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## ..$ thread.social.facebook.shares : int [1:100] 1574 6852 2922 1079 1612 1755 5638 4179 1825 1138 ...
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## ..$ thread.social.linkedin.shares : int [1:100] 87 763 323 7 86 45 6 560 24 3 ...
## ..$ thread.social.stumbledupon.shares: int [1:100] 0 0 0 0 0 0 0 0 0 0 ...
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## ..$ entities.persons :List of 100
## .. ..$ :'data.frame': 20 obs. of 2 variables:
## .. .. ..$ name : chr [1:20] "kim jong un" "kim dares trump" "xi jinping" "lankov" ...
## .. .. ..$ sentiment: chr [1:20] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 20 obs. of 2 variables:
## .. .. ..$ name : chr [1:20] "xi jinping" "sanjit das/bloomberg najib" "sanjit das/bloomberg harrison cheng" "isham ishak" ...
## .. .. ..$ sentiment: chr [1:20] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "kim jong" "kim jong un"
## .. .. ..$ sentiment: chr [1:2] "none" "none"
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "trump" "donald trump" "xi jinping" "angela merkel" ...
## .. .. ..$ sentiment: chr [1:18] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "trump" "pena nieto" "xi jinping" "enrique pena nieto" ...
## .. .. ..$ sentiment: chr [1:12] "neutral" "neutral" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "donald trump" "kim jong un" "mike pence" "kim" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "ju" "trump"
## .. .. ..$ sentiment: chr [1:2] "negative" "none"
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "trump" "north k" "donald trump" "ri yong ho" ...
## .. .. ..$ sentiment: chr [1:15] "negative" "negative" "negative" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "philip gray" "donald trump" "nicholas eberstadt" "kim jong un" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 22 obs. of 2 variables:
## .. .. ..$ name : chr [1:22] "trump" "eric talmadge" "xi jinping" "moon jae-in" ...
## .. .. ..$ sentiment: chr [1:22] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "xi jinping" "shinhye kang" "geng shuang" "kambiz foroohar" ...
## .. .. ..$ sentiment: chr [1:18] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "missi" "moon jae-in" "donald trump" "moon" ...
## .. .. ..$ sentiment: chr [1:16] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 17 obs. of 2 variables:
## .. .. ..$ name : chr [1:17] "moon jae-in" "lopez" "geng shuang" "haley" ...
## .. .. ..$ sentiment: chr [1:17] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "kim jong" "haley" "donald trump" "richard gowan" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 3 obs. of 2 variables:
## .. .. ..$ name : chr [1:3] "lee nak-yon" "kena betancur/afp" "kim"
## .. .. ..$ sentiment: chr [1:3] "none" "none" "none"
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "kim jong" "shinzo abe" "yoshihide suga" "kim jong un" ...
## .. .. ..$ sentiment: chr [1:5] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "chines" "jack ma" "donald trump" "steven mnuchin" ...
## .. .. ..$ sentiment: chr [1:6] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "putin" "vladimir putin" "kena bentancur/afp" "donald trump" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "ri yong ho" "donald trump" "richard nixon" "h.r. mcmaster" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "putin" "natalya kaspersky" "vladimir putin" "edward snowden" ...
## .. .. ..$ sentiment: chr [1:9] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "u." "ri yong ho" "white" "donald trump" ...
## .. .. ..$ sentiment: chr [1:9] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "fitzgerald" "mccain" "tobin harshaw" "brooks" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 46 obs. of 2 variables:
## .. .. ..$ name : chr [1:46] "grassley" "meyer" "mark elletson" "kushner" ...
## .. .. ..$ sentiment: chr [1:46] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "coinhako" "yusho liu" "zeall" "chia hock lai" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "xi jinping" "james mayger" "donald trump" "keith zhai" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "donald trump" "kim jong" "ri yong ho" "mckinney" ...
## .. .. ..$ sentiment: chr [1:11] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "kim jong un" "kim jong" "shinzo abe" "donald trump" ...
## .. .. ..$ sentiment: chr [1:6] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "jia qingguo" "bonnie glaser" "bruce bennett" "kim jong" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 22 obs. of 2 variables:
## .. .. ..$ name : chr [1:22] "jessica alba" "ntokozo" "emma watson" "hubert reeves" ...
## .. .. ..$ sentiment: chr [1:22] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "putin" "xi jinping" "moon jae-in" "vladimir putin" ...
## .. .. ..$ sentiment: chr [1:11] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "moon jae-in" "donald trump" "kim jong un" "kim" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 17 obs. of 2 variables:
## .. .. ..$ name : chr [1:17] "haley" "nikki haley" "xi jinping" "sabah al-ahmed al-sabah" ...
## .. .. ..$ sentiment: chr [1:17] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "donald trump" "shinzo abe" "toluse olorunnipa" "nick wadhams" ...
## .. .. ..$ sentiment: chr [1:8] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "ri yong ho" "xi jinping" "nikki haley" "kim jong un" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "ivanka trump" "donald trump" "richard painter" "abigail klem" ...
## .. .. ..$ sentiment: chr [1:15] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "francesca levy" "oskar levander" "levander" "justin bachman" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 23 obs. of 2 variables:
## .. .. ..$ name : chr [1:23] "trump" "bloomberg trump" "moon jae-in" "mark dubowitz" ...
## .. .. ..$ sentiment: chr [1:23] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "justin trudeau" "alain bellemare" "freeland" "michael sasso" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "bannon" "xi jinping" "gary cohn" "donald trump" ...
## .. .. ..$ sentiment: chr [1:14] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "shinzo abe" "kim jong" "moon jae-in" "donald trump" ...
## .. .. ..$ sentiment: chr [1:8] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "shinzo abe" "kim jong" "moon jae-in" "donald trump" ...
## .. .. ..$ sentiment: chr [1:8] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "xi jinping" "piao zhongzhe" "zhao tong" "donald trump" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "kim" "britta pedersen/dpa" "kim jong" "tomohiro ohsumi/bloomberg sign" ...
## .. .. ..$ sentiment: chr [1:14] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 1 obs. of 2 variables:
## .. .. ..$ name : chr "shuping niu"
## .. .. ..$ sentiment: chr "none"
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "curry" "erik fairbairn" "fairbairn" "brian parkin" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "mnuchin" "geng shuang" "kambiz foroohar" "kim jong" ...
## .. .. ..$ sentiment: chr [1:14] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 1 obs. of 2 variables:
## .. .. ..$ name : chr "steven mnuchin"
## .. .. ..$ sentiment: chr "none"
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "moon jae-in" "donald trump" "moon" "yue qiu" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "putin says trump" "russi" "vladimir putin" "donald trump" ...
## .. .. ..$ sentiment: chr [1:6] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "hassan rouhani" "barack obama" "donald trump" "rex tillerson" ...
## .. .. ..$ sentiment: chr [1:8] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 25 obs. of 2 variables:
## .. .. ..$ name : chr [1:25] "sam" "ronald reagan" "donald trump" "obama" ...
## .. .. ..$ sentiment: chr [1:25] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "hassan rouhani" "barack obama" "dina esfandiary" "donald trump" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "theresa may" "shinzo abe" "andy palmer" "johnson" ...
## .. .. ..$ sentiment: chr [1:13] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "nicholas bloom" "zucman" "moore" "gabriel zucman"
## .. .. ..$ sentiment: chr [1:4] "none" "none" "none" "none"
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "aibing guo" "buhari" "sophie mongalvy" "zhang" ...
## .. .. ..$ sentiment: chr [1:18] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "lu kang" "miao han" "kim jong un" "lu" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "henry ford" "deena shanker america" "maryn mckenna" "david cameron" ...
## .. .. ..$ sentiment: chr [1:13] "negative" "neutral" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "deng xiaoping" "kim jong-un" "deng" "timothy lavin" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "donald trump" "rex tillerson" "vipin narang" "kim jong un" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "barack obama" "donald trump" "obama" "kim jong un" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "barack obama" "agnel philip" "joseph dethomas" "donald trump" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "trump" "john kerry" "brown" "donald trump" ...
## .. .. ..$ sentiment: chr [1:8] "neutral" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "xi jinping" "sabah al-ahmed al-sabah" "kambiz foroohar" "joseph dunford" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "trump" "john kerry" "brown" "donald trump" ...
## .. .. ..$ sentiment: chr [1:8] "neutral" "none" "none" "none" ...
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "trump" "donald trump" "james slack" "margaret talev" ...
## .. .. ..$ sentiment: chr [1:18] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 30 obs. of 2 variables:
## .. .. ..$ name : chr [1:30] "manafort" "donald trump" "techcorp" "georgios georgiou" ...
## .. .. ..$ sentiment: chr [1:30] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "kim jong-un" "rex tillerson" "cui" "cui tiankai" ...
## .. .. ..$ sentiment: chr [1:5] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "moon jae-in" "dianne feinstein" "susan decker" "haley" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 3 obs. of 2 variables:
## .. .. ..$ name : chr [1:3] "rex tillerson" "donald trump" "feifei shen"
## .. .. ..$ sentiment: chr [1:3] "none" "none" "none"
## .. ..$ :'data.frame': 25 obs. of 2 variables:
## .. .. ..$ name : chr [1:25] "donald trump" "kim" "moon jae-in" "angela merkel" ...
## .. .. ..$ sentiment: chr [1:25] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "lorcan roche kelly want" "william dudley" "bill" "theresa may" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "putin" "merkel" "donald trump" "xi jinping" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "negative" "negative" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "moon jae-in" "donald trump" "david shipley" "michael newman" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "kim jong" "wang lisheng" "donald trump" "shi haiyan" ...
## .. .. ..$ sentiment: chr [1:15] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "kim jong un - bloomberg the north" "chung sung-jun/getty im" "kim jong" "byk" ...
## .. .. ..$ sentiment: chr [1:10] "neutral" "neutral" "none" "none" ...
## .. ..$ :'data.frame': 19 obs. of 2 variables:
## .. .. ..$ name : chr [1:19] "sun zeshun" "xi jinping" "liu ligang" "zhu rongji" ...
## .. .. ..$ sentiment: chr [1:19] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "hunt" "channing phillips" "mingzheng" "donald trump" ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 24 obs. of 2 variables:
## .. .. ..$ name : chr [1:24] "secreta" "max baucus" "rex tillerson" "donald trump" ...
## .. .. ..$ sentiment: chr [1:24] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "justin trudeau" "jack ma" "donald trump" "greg quinn" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "yukiya amano" "andreas persbo" "haley" "donald trump" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "donald trump" "nikki haley" "jean-yves le drian" "trump"
## .. .. ..$ sentiment: chr [1:4] "none" "none" "none" "none"
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "hugh hendry" "tillerson" "donald trump" "kim jong un" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "andrey rudakov/bloomberg" "kerssemakers" "lex kerssemakers" "li shufu"
## .. .. ..$ sentiment: chr [1:4] "none" "none" "none" "none"
## .. ..$ :'data.frame': 25 obs. of 2 variables:
## .. .. ..$ name : chr [1:25] "trump" "new yor" "haley" "eduardo munoz" ...
## .. .. ..$ sentiment: chr [1:25] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "johanna chua" "robert brand" "bill dudley" "mario draghi" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "rex tillerson" "mario svirsky" "bradley klapper" "ben fox" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "barack obama" "kevin" "mark dubowitz" "philip gray" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "bloomberg merkel" "stanley fischer" "merkel" "angela merkel" ...
## .. .. ..$ sentiment: chr [1:12] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 19 obs. of 2 variables:
## .. .. ..$ name : chr [1:19] "sune stralberg" "fredrik bjorkenwall" "bjorkis hundprodukter" "dan lundstrom" ...
## .. .. ..$ sentiment: chr [1:19] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 21 obs. of 2 variables:
## .. .. ..$ name : chr [1:21] "martin shkreli" "matt levine juicero" "michael lewis" "merrill" ...
## .. .. ..$ sentiment: chr [1:21] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 3 obs. of 2 variables:
## .. .. ..$ name : chr [1:3] "okun" "steve okun" "trump"
## .. .. ..$ sentiment: chr [1:3] "none" "none" "none"
## .. .. [list output truncated]
## ..$ entities.organizations :List of 100
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "washington post" "asan institute for policy studies" "massachusetts institute of technology" "brics" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "institute of strategic and international studies malaysia" "ming dynasty" "united malays national organisation" "dbs" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "afp" "yonhap - bloomberg" "bloomberg terminal" "yonhap news"
## .. .. ..$ sentiment: chr [1:4] "negative" "negative" "none" "none"
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "united nations general assembly" "united nations" "general assembly" "fox news" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "un security council votes" "bloomberg bloomberg" "demo request bloomberg connecting" "bloomberg"
## .. .. ..$ sentiment: chr [1:4] "negative" "negative" "none" "none"
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "bloomberg how trump" "nafta" "council of the americas" "brics" ...
## .. .. ..$ sentiment: chr [1:15] "neutral" "neutral" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "bloomberg mexico" "united nations security council" "security council" "bloomberg" ...
## .. .. ..$ sentiment: chr [1:7] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "nhk" "bloomberg terminal"
## .. .. ..$ sentiment: chr [1:2] "none" "none"
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "institute for the study of war" "senate armed services committee" "united nations" "pentagon" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "bloomberg trump" "american enterprise institute" "congressional" "united nations" ...
## .. .. ..$ sentiment: chr [1:8] "neutral" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "bloomberg trump" "state" "associated press" "bloomberg terminal" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "yonhap" "thaad" "thaad" "security council" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "getty images" "nuclear information project" "kyodo news" "kcna" ...
## .. .. ..$ sentiment: chr [1:18] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "bloomberg china" "united nations security council" "un sanctions cut" "peking university" ...
## .. .. ..$ sentiment: chr [1:12] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "un security council votes" "bloomberg un" "n. korea sanctions will cut deep follow" "financial times" ...
## .. .. ..$ sentiment: chr [1:18] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "united nations security council" "un" "dprk" "korean central news agency" ...
## .. .. ..$ sentiment: chr [1:5] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "united nations" "un" "security council" "un security council" ...
## .. .. ..$ sentiment: chr [1:5] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "korea asia-pacific peace committee" "bloomberg terminal" "korean central news agency" "workers’ party"
## .. .. ..$ sentiment: chr [1:4] "none" "none" "none" "none"
## .. ..$ :'data.frame': 23 obs. of 2 variables:
## .. .. ..$ name : chr [1:23] "commerce department" "inseego corp." "white house" "canyon bridge capital partners llc" ...
## .. .. ..$ sentiment: chr [1:23] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "bloomberg putin" "brics" "united nations" "bloomberg terminal" ...
## .. .. ..$ sentiment: chr [1:6] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "bloomberg quint" "bloomberg" "institute for the study of war" "army" ...
## .. .. ..$ sentiment: chr [1:15] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "bloomberg taiga" "google" "infowatch" "gazprom pjsc" ...
## .. .. ..$ sentiment: chr [1:11] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "washington post" "u.n" "dprk" "united nations" ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "un" "united nations security council" "security council" "u.s. pacific fleet" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 30 obs. of 2 variables:
## .. .. ..$ name : chr [1:30] "bloomberg share" "congress" "cnn" "brandlin & associates" ...
## .. .. ..$ sentiment: chr [1:30] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "singapore cryptocurrency firms facing bank account closures - bloomberg singapore cryptocurrency firms facing bank" "dbs" "oversea-chinese banking corp." "blockchain industry association" ...
## .. .. ..$ sentiment: chr [1:13] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "brics" "security council" "citigroup" "u.s. energy information administration" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "yonhap" "army" "warhead progress south korea’s unification ministry" "united nations general assembly" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "kcna" "korean central news agency"
## .. .. ..$ sentiment: chr [1:2] "none" "none"
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "bloomberg" "washington post" "csis" "united nations" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 21 obs. of 2 variables:
## .. .. ..$ name : chr [1:21] "unilever" "bloomberg" "financial times" "capri sun" ...
## .. .. ..$ sentiment: chr [1:21] "neutral" "neutral" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "bloomberg moon" "united nations security council" "getty images south" "bloomberg terminal" ...
## .. .. ..$ sentiment: chr [1:6] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "un" "united nations security council" "washington post" "nuclear weapons institute" ...
## .. .. ..$ sentiment: chr [1:9] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "united nations" "congress" "security council" "bloomberg" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "cnn" "united nations general assembly"
## .. .. ..$ sentiment: chr [1:2] "none" "none"
## .. ..$ :'data.frame': 19 obs. of 2 variables:
## .. .. ..$ name : chr [1:19] "trump" "bloomberg quint" "bloomberg" "ricoh india begin much" ...
## .. .. ..$ sentiment: chr [1:19] "negative" "negative" "negative" "negative" ...
## .. ..$ :'data.frame': 28 obs. of 2 variables:
## .. .. ..$ name : chr [1:28] "ap" "congress" "adidas ag" "importgenius" ...
## .. .. ..$ sentiment: chr [1:28] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 27 obs. of 2 variables:
## .. .. ..$ name : chr [1:27] "rolls-royce marine power operations ltd." "flirtey inc." "staples inc." "cowen & co." ...
## .. .. ..$ sentiment: chr [1:27] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "congress" "united nations" "foundation for defense of democracies" "un security council" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 23 obs. of 2 variables:
## .. .. ..$ name : chr [1:23] "bombardier" "delta" "boeing" "siemens ag" ...
## .. .. ..$ sentiment: chr [1:23] "negative" "negative" "negative" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "bloomberg trump" "congress" "breitbart news" "united nations" ...
## .. .. ..$ sentiment: chr [1:14] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 1 obs. of 2 variables:
## .. .. ..$ name : chr "un"
## .. .. ..$ sentiment: chr "none"
## .. ..$ :'data.frame': 1 obs. of 2 variables:
## .. .. ..$ name : chr "un"
## .. .. ..$ sentiment: chr "none"
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "bloomberg businessweek residents" "bloomberg businessweek" "world trade organization" "liaoning academy of social sciences" ...
## .. .. ..$ sentiment: chr [1:15] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "united nations" "global headlines london underground" "bloomberg politics" "state" ...
## .. .. ..$ sentiment: chr [1:9] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "bloomberg news" "un’s food & agriculture organization" "united nations" "bloomberg terminal"
## .. .. ..$ sentiment: chr [1:4] "negative" "none" "none" "none"
## .. ..$ :'data.frame': 25 obs. of 2 variables:
## .. .. ..$ name : chr [1:25] "audi ag" "engie sa" "audi" "united nations" ...
## .. .. ..$ sentiment: chr [1:25] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 17 obs. of 2 variables:
## .. .. ..$ name : chr [1:17] "treasury" "bloomberg mnuchin threatens financial sanctions" "security council" "united nations" ...
## .. .. ..$ sentiment: chr [1:17] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "treasury department" "central bank of democratic people’s republic of korea" "un security council resolutions" "foreign trade bank of the democratic people’s republic of korea" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "u.s. state department" "national assembly budget office"
## .. .. ..$ sentiment: chr [1:2] "none" "none"
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "bloomberg putin says trump" "brics" "united nations" "bloomberg terminal" ...
## .. .. ..$ sentiment: chr [1:5] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "congress" "security council" "united nations general assembly" "state" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 24 obs. of 2 variables:
## .. .. ..$ name : chr [1:24] "bloomberg military uncle sam wants" "congress" "naval postgraduate school" "boeing" ...
## .. .. ..$ sentiment: chr [1:24] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "congress" "security council" "united nations general assembly" "atlantic council" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "eu" "bbc radio" "confederation of british industry" "daily telegraph" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "stanford university" "nber" "iif" "the institute of international finance" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "sec" "sinopec" "doj" "justice department" ...
## .. .. ..$ sentiment: chr [1:16] "negative" "negative" "negative" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "bloomberg china imports" "bloomberg news dprk" "united nations security council" "security council" ...
## .. .. ..$ sentiment: chr [1:9] "neutral" "neutral" "none" "none" ...
## .. ..$ :'data.frame': 27 obs. of 2 variables:
## .. .. ..$ name : chr [1:27] "bloomberg" "lederle laboratories" "fda" "new york times" ...
## .. .. ..$ sentiment: chr [1:27] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "united nations" "bloomberg lp"
## .. .. ..$ sentiment: chr [1:2] "none" "none"
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "trump" "united nations" "getty images" "thaad" ...
## .. .. ..$ sentiment: chr [1:15] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "bloomberg" "peterson institute for international economics" "united nations" "un" ...
## .. .. ..$ sentiment: chr [1:6] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "peterson institute for international economics" "pennsylvania state university" "united nations" "un" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "united technologies corp." "united nations general assembly" "nike inc." "merck & co" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "trump" "bloomberg trump" "congress" "security council" ...
## .. .. ..$ sentiment: chr [1:9] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "united technologies corp." "united nations general assembly" "nike inc." "merck & co" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "bloomberg" "congress" "state" "general assembly" ...
## .. .. ..$ sentiment: chr [1:8] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "washington post" "black sea cable" "techcorp universal" "s&p global markets" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 3 obs. of 2 variables:
## .. .. ..$ name : chr [1:3] "united nations security council" "state" "un security council"
## .. .. ..$ sentiment: chr [1:3] "none" "none" "none"
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "tillerson vows `peaceful pressure campaign' against north korea" "security council" "cnn" "abc" ...
## .. .. ..$ sentiment: chr [1:10] "neutral" "none" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "un sanctions china" "ministry of commerce" "state" "un" ...
## .. .. ..$ sentiment: chr [1:5] "neutral" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "united nations security council" "congress" "anti-corruption action center" "bloomberg politics" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "bloomberg" "new york fed" "house of commons" "european union" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "trump" "united nations general assembly" "big un" "un" ...
## .. .. ..$ sentiment: chr [1:7] "negative" "negative" "negative" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "bloomberg" "bloomberg view" "treasury department" "existing united nations" ...
## .. .. ..$ sentiment: chr [1:7] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "getty images at dong sheng" "commerce ministry" "bloomberg" "united nations" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "party" "united nations" "bloomberg lp" "seoul national university"
## .. .. ..$ sentiment: chr [1:4] "none" "none" "none" "none"
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "jiangsu meiyang ecological farming & forestry co." "changan" "u.s. department of agriculture’s economic research service" "bloomberg businessweek" ...
## .. .. ..$ sentiment: chr [1:15] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "bloomberg this chinese company" "commerce department" "mingzheng international trading limited" "united nations" ...
## .. .. ..$ sentiment: chr [1:15] "neutral" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "us-korea institute" "state" "united nations" "un" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "globalization global" "bloomberg global business forum" "united nations general assembly" "alibaba group holding" ...
## .. .. ..$ sentiment: chr [1:5] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "trump iran" "american enterprise institute" "iaea" "united nations" ...
## .. .. ..$ sentiment: chr [1:7] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "balance of power" "congress" "security council" "bloomberg" ...
## .. .. ..$ sentiment: chr [1:10] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "cassini" "bloomberg intelligence" "united nation" "pc partner group ltd." ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "volvo" "bloomberg volvo" "volvo cars" "zhejiang geely holding group co." ...
## .. .. ..$ sentiment: chr [1:7] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "un ‘club" "bloomberg un ‘club" "congress" "security council" ...
## .. .. ..$ sentiment: chr [1:18] "neutral" "neutral" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "security council" "european central bank" "fed" "ecb" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "the associated press" "technische universitaet dortmund" "new york university school of medicine" "medstar georgetown university hospital" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "congress" "american enterprise institute" "european union" "united nations" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "kiwi dollar" "national party" "eu" "european central bank" ...
## .. .. ..$ sentiment: chr [1:13] "negative" "negative" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "swedish mining town - bloomberg" "nature" "lkab" "ica ab" ...
## .. .. ..$ sentiment: chr [1:14] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 28 obs. of 2 variables:
## .. .. ..$ name : chr [1:28] "bloomberg" "nba record" "regulatory reporting" "united technologies" ...
## .. .. ..$ sentiment: chr [1:28] "negative" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "bloomberg southeast asia looks likely" "american chamber of commerce" "amcham" "bloomberg terminal" ...
## .. .. ..$ sentiment: chr [1:8] "negative" "none" "none" "none" ...
## .. .. [list output truncated]
## ..$ entities.locations :List of 100
## .. ..$ :'data.frame': 19 obs. of 2 variables:
## .. .. ..$ name : chr [1:19] "north korea" "japan" "russia" "india" ...
## .. .. ..$ sentiment: chr [1:19] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 23 obs. of 2 variables:
## .. .. ..$ name : chr [1:23] "china" "malaysia" "south china sea" "singapore" ...
## .. .. ..$ sentiment: chr [1:23] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "getty images north korea" "north korea" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 17 obs. of 2 variables:
## .. .. ..$ name : chr [1:17] "north korea" "new york" "south china sea" "united states" ...
## .. .. ..$ sentiment: chr [1:17] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 1 obs. of 2 variables:
## .. .. ..$ name : chr "north korea"
## .. .. ..$ sentiment: chr "none"
## .. ..$ :'data.frame': 20 obs. of 2 variables:
## .. .. ..$ name : chr [1:20] "china" "mexico" "argentina" "united states" ...
## .. .. ..$ sentiment: chr [1:20] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "u.s." "mexico" "south korea" "japan" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "japan toward pacific ocean" "north korea" "japan" "pacific ocean"
## .. .. ..$ sentiment: chr [1:4] "none" "none" "none" "none"
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "u.s." "north korea" "china" "korean peninsula" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "north korea" "south china sea" "japan" "beijing" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 22 obs. of 2 variables:
## .. .. ..$ name : chr [1:22] "north korea" "atherine lucey" "koreas" "united states" ...
## .. .. ..$ sentiment: chr [1:22] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "south korea" "bloomberg south korea" "beijing" "u.s." ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "seoul" "bloomberg south korea paves way" "south korea paves way" "thaad" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "beijing" "russia warn the u.s." "china" "moscow" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "north korea" "u.s.-south korea" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "north korea warns u.s." "north korea" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "north korea" "getty images while pyongyang" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "japan" "bloomberg north korea" "north korea" "south korea" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "beijing" "oregon" "u.s." "portland" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "u.s." "north korea" "getty images u.s." "china" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "u.s." "north korea" "new york" "united states" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "u.s." "china" "siberia" "ukraine" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "bloomberg north korea" "north korea" "new york" "south korea" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 25 obs. of 2 variables:
## .. .. ..$ name : chr [1:25] "north korea" "sea of japan" "nampo" "haiti" ...
## .. .. ..$ sentiment: chr [1:25] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 44 obs. of 2 variables:
## .. .. ..$ name : chr [1:44] "u.s." "vermont" "disneyland" "singapore" ...
## .. .. ..$ sentiment: chr [1:44] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 4 obs. of 2 variables:
## .. .. ..$ name : chr [1:4] "southeast asia" "singapore" "china" "cryptocurrency investments singapore"
## .. .. ..$ sentiment: chr [1:4] "none" "none" "none" "none"
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "china" "japan" "north korea" "ponghwa" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "u.s." "yonhap says north korea" "new york" "south korea" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "japan" "south korea" "u.s." "okinawa" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "u.s." "north korea taboo china" "united states" "balkans" ...
## .. .. ..$ sentiment: chr [1:15] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 21 obs. of 2 variables:
## .. .. ..$ name : chr [1:21] "chicago" "europe" "japan" "africa" ...
## .. .. ..$ sentiment: chr [1:21] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "north korea" "u.s." "tokyo" "china" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "bloomberg north korea" "north korea" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "u.s." "north korea says u.s." "north korea" "china" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "north korea" "new york" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "u.s." "north korea" "eu" "new york" ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "shanghai" "china" "new york" "hong kong" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 34 obs. of 2 variables:
## .. .. ..$ name : chr [1:34] "vancouver" "beaver creek" "englewood" "singapore" ...
## .. .. ..$ sentiment: chr [1:34] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "north korea belie limits" "north korea" "beijing" "south korea" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "u.s." "canada" "united states" "china" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "china" "south korea" "u.s." "hong kong" ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "north korea" "u.s." "japan" "china" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "north korea" "u.s." "japan" "china" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "china along china" "north korea" "new york" "liaoning" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "japan" "north korea" "myanmar" "aung san suu kyi" ...
## .. .. ..$ sentiment: chr [1:15] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "bloomberg north korea" "north korea" "u.s." "hong kong" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "davos" "west texas" "bonn" "china" ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 9 obs. of 2 variables:
## .. .. ..$ name : chr [1:9] "china" "north korea" "new york" "u.s." ...
## .. .. ..$ sentiment: chr [1:9] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "u.s." "north korea" "china" "united arab emirates" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "south korea" "north korea" "koreas" "japan" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "u.s." "ukraine putin" "san francisco" "china" ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "u.s." "iran" "middle east" "new york" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 35 obs. of 2 variables:
## .. .. ..$ name : chr [1:35] "afghanistan" "eastern europe" "libya" "kabul" ...
## .. .. ..$ sentiment: chr [1:35] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "u.s." "iran" "middle east" "new york" ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "japan" "eu" "brussels" "asia" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 19 obs. of 2 variables:
## .. .. ..$ name : chr [1:19] "argentina" "hong kong" "europe" "gulf" ...
## .. .. ..$ sentiment: chr [1:19] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 16 obs. of 2 variables:
## .. .. ..$ name : chr [1:16] "u.s." "nigeria" "new york" "hong kong" ...
## .. .. ..$ sentiment: chr [1:16] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 3 obs. of 2 variables:
## .. .. ..$ name : chr [1:3] "china" "north korea china" "north korea"
## .. .. ..$ sentiment: chr [1:3] "none" "none" "none"
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "saudi arabia" "u.s." "seattle" "china" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "bloomberg north korea" "north korea" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "north korea" "south korea" "u.s." "iran" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "u.s." "north korea" "iran" "china" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "u.s." "north korea" "iran" "china" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "u.s." "new york" "puerto rico" "china" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "north korea" "demilitarized zone" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "u.s." "new york" "puerto rico" "china" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "u.s." "iran" "new york" "united states" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 21 obs. of 2 variables:
## .. .. ..$ name : chr [1:21] "rusal" "cyprus" "hungary" "eastern europe" ...
## .. .. ..$ sentiment: chr [1:21] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "u.s." "north korea china" "china" "north korea" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 7 obs. of 2 variables:
## .. .. ..$ name : chr [1:7] "u.s." "united states" "china" "california" ...
## .. .. ..$ sentiment: chr [1:7] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 3 obs. of 2 variables:
## .. .. ..$ name : chr [1:3] "china" "u.s." "north korea"
## .. .. ..$ sentiment: chr [1:3] "none" "none" "none"
## .. ..$ :'data.frame': 19 obs. of 2 variables:
## .. .. ..$ name : chr [1:19] "beijing" "u.s." "north korea" "berlin" ...
## .. .. ..$ sentiment: chr [1:19] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "florida keys" "united states" "japan" "europe" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 2 obs. of 2 variables:
## .. .. ..$ name : chr [1:2] "new york" "china"
## .. .. ..$ sentiment: chr [1:2] "none" "none"
## .. ..$ :'data.frame': 6 obs. of 2 variables:
## .. .. ..$ name : chr [1:6] "u.s." "north korea" "beijing" "south korea" ...
## .. .. ..$ sentiment: chr [1:6] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 22 obs. of 2 variables:
## .. .. ..$ name : chr [1:22] "yalu river" "china" "yellow sea" "sea of japan" ...
## .. .. ..$ sentiment: chr [1:22] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "south korea" "u.s." "japan" "china" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "china" "jiangsu" "beijing" "shiji" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "u.s." "u.s. target north korea" "north korea" "beijing" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 12 obs. of 2 variables:
## .. .. ..$ name : chr [1:12] "u.s." "japan" "north korea" "south korea" ...
## .. .. ..$ sentiment: chr [1:12] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 5 obs. of 2 variables:
## .. .. ..$ name : chr [1:5] "new york" "u.s." "china" "america" ...
## .. .. ..$ sentiment: chr [1:5] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "iran" "united states" "libya" "washington" ...
## .. .. ..$ sentiment: chr [1:15] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "u.s." "iran" "persian gulf" "islamic republic" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 14 obs. of 2 variables:
## .. .. ..$ name : chr [1:14] "north korea" "japan" "europe" "england" ...
## .. .. ..$ sentiment: chr [1:14] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 10 obs. of 2 variables:
## .. .. ..$ name : chr [1:10] "billion south carolina plant" "billion south carolina" "charleston" "americas" ...
## .. .. ..$ sentiment: chr [1:10] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 20 obs. of 2 variables:
## .. .. ..$ name : chr [1:20] "new york" "myanmar" "south sudan" "japan" ...
## .. .. ..$ sentiment: chr [1:20] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "asia" "korea" "south korea" "u.s." ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 18 obs. of 2 variables:
## .. .. ..$ name : chr [1:18] "cuba" "u.s." "united states" "moscow" ...
## .. .. ..$ sentiment: chr [1:18] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 13 obs. of 2 variables:
## .. .. ..$ name : chr [1:13] "iran" "new york" "afghanistan" "russia" ...
## .. .. ..$ sentiment: chr [1:13] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 15 obs. of 2 variables:
## .. .. ..$ name : chr [1:15] "germany new zealand" "brussels" "hong kong" "chicago" ...
## .. .. ..$ sentiment: chr [1:15] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 20 obs. of 2 variables:
## .. .. ..$ name : chr [1:20] "hibbing" "new york" "tallangatta" "kiruna" ...
## .. .. ..$ sentiment: chr [1:20] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 0 obs. of 0 variables
## .. ..$ :'data.frame': 8 obs. of 2 variables:
## .. .. ..$ name : chr [1:8] "juicero" "staten island" "sapporo" "china" ...
## .. .. ..$ sentiment: chr [1:8] "none" "none" "none" "none" ...
## .. ..$ :'data.frame': 11 obs. of 2 variables:
## .. .. ..$ name : chr [1:11] "u.s." "southeast asia" "vietnam" "singapore" ...
## .. .. ..$ sentiment: chr [1:11] "none" "none" "none" "none" ...
## .. .. [list output truncated]
## $ totalResults : int 220
## $ moreResultsAvailable: int 120
## $ next : chr "/filterWebContent?token=c927f1c8-bd9c-4863-8338-fa88c14ce6b8&format=json&ts=1213456&q=%28China+AND+United%29+language%3Aenglish"| __truncated__
## $ requestsLeft : int 867
Auto-handle pagination (NOTE: you're more likelky to rip through your plan API credits this way):
res <- fetch_posts("(China AND United) language:english site_type:news site:bloomberg.com",ts = 1213456)
dplyr::glimpse(res)## Observations: 220
## Variables: 42
## $ uuid <chr> "ea6f6084be16a50b0d4791ffa268956ca691c16d", "bd0ac60981ac73e2a7e713788812...
## $ url <chr> "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlg...
## $ ord_in_thread <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ author <chr> "More stories by Andy Sharp", "", "More Stories Kanga Kong", "", "More St...
## $ published <chr> "2017-09-03T14:59:00.000+03:00", "2017-09-03T11:15:00.000+03:00", "2017-0...
## $ title <chr> "With Powerful Nuclear Bomb, Kim Dares Trump and Xi to Stop Him", "https:...
## $ text <chr> "In detonating North Korea’s most powerful nuclear bomb yet, Kim Jong Un ...
## $ highlighttext <chr> "late for either U.S. President Donald Trump or <em>Chinese</em> leader X...
## $ highlighttitle <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "...
## $ language <chr> "english", "english", "english", "english", "english", "english", "englis...
## $ external_links <list> [<>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>, <>,...
## $ rating <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N...
## $ crawled <chr> "2017-09-03T15:48:39.001+03:00", "2017-09-03T06:26:25.003+03:00", "2017-0...
## $ thread_uuid <chr> "ea6f6084be16a50b0d4791ffa268956ca691c16d", "bd0ac60981ac73e2a7e713788812...
## $ thread_url <chr> "http://omgili.com/ri/.wHSUbtEfZQ2wVwv1GOz6Msy5xK737ZFABw8Ekw2S.t5sWsmdlg...
## $ thread_site_full <chr> "www.bloomberg.com", "www.bloomberg.com", "www.bloomberg.com", "www.bloom...
## $ thread_site <chr> "bloomberg.com", "bloomberg.com", "bloomberg.com", "bloomberg.com", "bloo...
## $ thread_site_section <chr> "https://www.bloomberg.com/politics", "http://www.businessinsider.com/clu...
## $ thread_site_categories <list> [<"news", "business">, <"news", "business">, <"news", "business">, <"new...
## $ thread_section_title <chr> "Politics - Bloomberg", "The Hive", "", "", "", "Bloomberg Politics", "",...
## $ thread_title <chr> "With Powerful Nuclear Bomb, Kim Dares Trump and Xi to Stop Him", "https:...
## $ thread_title_full <chr> "With Powerful Nuclear Bomb, Kim Dares Trump and Xi to Stop Him - Bloombe...
## $ thread_published <chr> "2017-09-03T14:59:00.000+03:00", "2017-09-03T11:15:00.000+03:00", "2017-0...
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## $ thread_site_type <chr> "news", "news", "news", "news", "news", "news", "news", "news", "news", "...
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## $ thread_main_image <chr> "https://assets.bwbx.io/images/users/iqjWHBFdfxIU/i4tvtAlvLqUU/v0/1200x80...
## $ thread_performance_score <int> 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 9, 10, 10, 10, 10, 10, 10...
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## $ thread_social_facebook_shares <int> 1574, 6852, 2922, 1612, 5638, 1079, 1755, 4179, 1825, 2938, 1120, 1337, 9...
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## $ entities_persons <list> [<c("kim jong un", "kim dares trump", "xi jinping", "lankov", "donald tr...
## $ entities_organizations <list> [<c("washington post", "asan institute for policy studies", "massachuset...
## $ entities_locations <list> [<c("north korea", "japan", "russia", "india", "beijing", "south korea",...